Bao-hua Qiang

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The Deep Web, a complex entity that contains information from a variety of source types, has gotten a lot of press in recent years. In order to unlock the vast Deep Web content, effective approaches to extract, index and search the query interfaces from dynamic Web pages should be studied carefully. Based on our previously proposed grouping patterns and(More)
Entities matching plays a crucial role in integrating multiple data sources. However, the inconsistent data formats and limited data sharing across heterogeneous databases become the bottlenecks for data interoperability and integration. So it is urgent to conduct research on entities heterogeneity and entities matching across multiple heterogeneous(More)
Identifying corresponding attributes is an important issue to realize data sharing and interoperability in heterogeneous databases. The main approaches at present adopted predefined rules to evaluate the similarity of attributes by comparing all attributes, which have some limitations. So two-phase-checking algorithm based on BP neural network was presented(More)
An important task of similarity determination in heterogeneous databases is to determine which fields refer to the same data. Neural networks have emerged as a powerful pattern recognition technique. But the most concerned problem of using neural networks is the training performance. It is not easy to get high performance. In this paper we present a new(More)
With progress of information technology, it is necessary to access multiple heterogeneous databases in order to get the desired information from different sources. One main problem encountered constantly among heterogeneous databases is entity heterogeneity, which arises when the same real-word entity type is represented using different identifiers in(More)
Priority control is important in information systems that are designed according to SOA because there are services which have different functions and qualities, and a large amount of concurrent service requests may also occur at some point. A message scheduling model based on priority control of the service consumer is proposed. By adding an overall control(More)
Entity reconciliation is crucial to data interoperability in heterogeneous databases. In our previous research works, we proposed an entities matching algorithm based on attribute entropy to identify the corresponding entities, which can resolve the limitations of present main approaches and improve the precision of entities matching obviously. By our(More)
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